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MATLAB and Simulink for Microgrid, Smart Grid, and Charging Infrastructure

Perform system-level and control system design of power system infrastructure

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Microgrid power system analysis and design

Smart grid

Electric vehicle charging systems

Develop the next generation microgrids, smart grids, and electric vehicle charging infrastructure by modeling and simulating network architecture, performing system-level analysis, and developing energy management and control strategies.

MATLAB^®, Simulink^®, and Simcape Electrical™ enable you to estimate the sizing of electrical components, such as batteries, PV arrays, and backup generators. These products let you explore system operations, assess system feasibility, and optimize system configurations by modeling the system and running simulations in parallel.

A diagram that shows a distributed energy system with renewables, charging stations, and other loads and generators.

Microgrid Power System Analysis and Design

Design and perform analysis of microgrids using Simscape Electrical and Simulink.

Integrate the microgrid system model with the utility grid model
Understand and predict the impact of variable power sources and loads on distribution networks and the utility grid
Develop supervisory control and energy management systems for different power sources and loads
Use hardware-in-the-loop (HIL) simulations to test microgrid energy management algorithms with a real-time machine

a Simulink model of a microgrid connected with a variable load, a back-up generator, a static load, and an energy storage system

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Customer Stories

Sandia National Laboratories Simulates Hawaii Microgrid and Photovoltaic Systems

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Examples

Smart Grid

Grid modernization and decentralization have rapidly increased power system complexity. Modern grids include variable generation assets, such as wind and solar, and distributed energy storage systems, such as grid-scale batteries. These grid components introduce additional uncertainty to grid operations and call for more intelligent and robust control algorithms in grid management.

MATLAB, Simulink, and Simscape Electrical enable you to:

Build data-driven or physics-based models of the grid
Model, simulate, and optimize the performance of the individual grid components and the grid system
Incorporate forecasting and optimization techniques in the grid management system
Design algorithms to optimally control equipment, manage energy storage and supply, and rapidly respond to outages and grid faults
Deploy algorithms onto embedded and/or enterprise systems

“The versatility of MATLAB and the ease with which we could use MATLAB toolboxes for machine learning and deep learning to solve complex issues were key advantages for our team. With this new tool, we are able to maximize hydroelectric resources, optimize the use of reserves, and minimize costly payments to international energy exchanges.”
Lead engineer, Administrador del Mercado Mayorista (AMM)

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Customer Stories

Videos

Examples

Distribution System Model in Simscape: 123 Node Test Feeder

Electrical Distribution System Modeling and Analysis in MATLAB and Simulink (48:06)

More specialized power systems examples

Electric Vehicle Charging Systems

Simulink, combined with Simscape Electrical, provides an environment for designing electric vehicle (EV) charging infrastructure. Together, these products let you design charging systems with different power requirements (such as AC charging, low-power DC charging, and high-power DC charging) and of varying scales.

Implement solutions for vehicle-to-grid integration
Study the impact of different charging system architectures on the power system
Implement control strategies that can mitigate load issues and respond to rapid changes in charging demand
Perform capacity studies to set a proper scale of charging infrastructure for meeting a given demand in a designated area